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Remote Data Analyst Side Jobs in Oklahoma (NOW HIRING)

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Strong self-management skills with the ability to work independently in a fully remote environment ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

The Senior, Compliance & Monitoring reviews and validates data integrity, collaborates with program ... remote, office, or BDO offices as required Ability to sit for prolonged periods and lift up to 15 ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Legal AI Trainer - Remote

Tulsa, OK · Remote

$90 - $150/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Principal Analytics Engineer

Tulsa, OK · On-site +1

$120K - $130K/yr

Remote | Full-Time | $120,000-$130,000 Annually | Enterprise Analytics Why CareATC is Different ... Direct partnership with Data & Analytics leadership, business leaders, and cross-functional ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Showing results 21-40

Remote Data Analyst Side information

What is a remote data analyst side?

A remote data analyst side job involves working part-time or as a freelancer to analyze data for organizations, all while working from a location outside the traditional office. Responsibilities typically include collecting, cleaning, and interpreting data to help businesses make informed decisions. This role allows professionals to leverage their analytical skills in a flexible setting, often outside of their primary job or commitments. Remote data analyst side jobs are ideal for those seeking additional income or experience without the constraints of a full-time, in-office position. Common industries hiring for these roles include marketing, finance, healthcare, and technology.

What are the key skills and qualifications needed to thrive as a remote data analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in a quantitative field such as mathematics or computer science. Familiarity with data analysis tools and programming languages such as SQL, Python, R, and platforms like Tableau or Power BI is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills set top remote analysts apart. These skills are essential for extracting actionable insights from data and effectively collaborating with distributed teams to support business decisions.

What are some common challenges faced by remote data analysts, and how can they be effectively addressed?

Remote data analysts often face challenges such as limited access to immediate team collaboration, potential data security concerns, and managing time across different time zones. To overcome these, it's important to leverage communication tools like Slack or Microsoft Teams for regular check-ins, use secure VPNs and follow company data protocols, and establish clear work schedules with your team. Proactively seeking feedback and maintaining organized documentation can also help ensure smooth workflow and effective collaboration.

What is the difference between Remote Data Analyst Side vs Remote Data Analyst?

AspectRemote Data Analyst SideRemote Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in Excel, SQL, Python/RBachelor's or higher in Data Science, Statistics, or related; similar technical skills
Work EnvironmentPart-time, freelance, or side projects; flexible hoursFull-time or part-time; employed by companies or clients
Employer & Industry UsageFreelance platforms, startups, consulting firmsCorporations, consulting agencies, research firms

The main difference is that a Remote Data Analyst Side typically works on freelance or part-time projects, offering flexibility, while a Remote Data Analyst is usually employed full-time or part-time by organizations. Both roles require similar skills and credentials, but their work settings and commitments differ.

Compensation Analyst (Teradyne, US Remote / North Reading, MA)

Teradyne

Oklahoma City, OK • Remote

$94K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team, one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

** Open to US Remote **

We are seeking a Compensation Analyst to support the design, administration, analysis, and continuous improvement of Teradyne's global compensation programs. This role will partner across HR and the business to deliver compensation insights, market analysis, and data-driven recommendations that support organizational objectives.

In this role, you will combine compensation expertise, advanced analytics, automation, and business consultation to help improve the effectiveness, accuracy, and scalability of compensation processes.

  • Conduct market pricing analyses using compensation survey data, including Radford, Mercer, Comptryx, and other market intelligence sources.
  • Analyze salary structures, pay equity, geographic differentials, and overall compensation competitiveness.
  • Support annual compensation programs, including merit planning, promotions, bonus administration, equity programs, and salary structure development.
  • Support job evaluation, market alignment, job architecture, and leveling initiatives.
  • Develop dashboards, reports, models, and decision-support tools that provide actionable workforce and compensation insights.
  • Partner with HR Business Partners and business leaders on global compensation matters, including offers, promotions, retention cases, internal equity concerns, organizational changes, and market competitiveness.
  • Leverage advanced Excel, automation solutions, and AI-enabled tools to streamline compensation processes, reporting, survey matching, job evaluation, and documentation.
  • Ensure compensation data integrity through strong governance, validation, audit, and confidentiality practices.
  • Serve as a trusted advisor by translating complex compensation analyses into clear and actionable guidance.
  • Evaluate complex compensation situations and exercise independent judgment to develop practical, data-driven recommendations aligned with company compensation philosophy, external competitiveness, and business objectives.
  • Communicate compensation concepts and confidently present and defend recommendations with HR and business leaders, including in high-visibility situations.

All About You

The ideal candidate is intellectually curious, highly analytical, and motivated by continuous learning and professional growth. They thrive in a fast-paced environment, exercise sound judgment, and consistently deliver high-quality results while managing competing priorities and deadlines.

  • Bachelor's degree in Human Resources, Business, Finance, Economics, or a related field.
  • Minimum of 6 years of progressive compensation experience.
  • Experience supporting global compensation programs.
  • Strong understanding of compensation principles, market pricing methodologies, salary structures, and compensation program administration.
  • Advanced Microsoft Excel proficiency, including complex formulas, data analysis, modeling, reporting, and automation.
  • Ability to analyze large, complex datasets and translate business questions into actionable insights and recommendations.
  • Experience building dashboards, analytical models, reports, and decision-support tools that drive business decisions.
  • Strong written, verbal, and presentation skills, with the ability to communicate complex compensation concepts to technical and non-technical audiences.
  • Proven ability to build credibility and partner effectively with HR Business Partners, Field HR, and managers.
  • Strong judgment, attention to detail, accountability, and ability to manage multiple priorities and deadlines.
  • Continuous improvement mindset with interest in automation, AI-enabled technologies, process improvement, and emerging tools.
  • Preferred: Certified Compensation Professional certification or progress toward certification.
  • Preferred: Experience with SAP SuccessFactors or similar HRIS platforms.
  • Preferred: Experience supporting job architecture and leveling frameworks.
  • Preferred: Knowledge of pay transparency, pay equity, and related regulatory requirements.
  • Preferred: Experience using AI tools and automation solutions to improve business processes.

This position is not eligible for sponsorship.

Compensation: The base salary range for this role is $94,400-151,000. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range may vary based on experience, skills, qualifications.

Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.

Benefits: Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.

#LI-MK1